Development of Full-scale Sizing Criteria from Tertiary Pilot Testing Results to Achieve Ultra-low Phosphorus Limits at Innisfil, Ontario
Bibliographic record
Abstract
Development of Full-scale Sizing Criteria from Tertiary Pilot Testing Results to Achieve Ultra-low Phosphorus Limits at Innisfil, OntarioThe Town of Innisfil, Ontario, is served by the Lakeshore Water Pollution Control Plant (LWPCP) which has a rated capacity of 14,370 m3/d and a current average flow of about 9,000 m3/d. The plant uses an extended aeration activated sludge system followed by filters. Alum is added to the aeration basin effluent mixed liquor to reduce the effluent total phosphorus (TP) concentration to approximately...Author(s)Christine deBarbadilloGrant ShellswellWes CyrBrian EdwardsRichard WaiteBikram SabherwalJoe MullanReid MitchellSourceProceedings of the Water Environment FederationSubjectSession 14: Focused Discussion: Phosphorus Removal to Very Low LevelsDocument typeConference PaperPublisherWater Environment FederationPrint publication date Jan, 2011ISSN1938-6478SICI1938-6478(20110101)2011:1L.987;1-DOI10.2175/193864711802867153Volume / Issue2011 / 1Content sourceNutrient Removal and Recovery SymposiumFirst / last page(s)987 - 1008Copyright2011Word count164Subject keywordsUltra-low phosphorus limitstertiary phosphorus removaldesign criteriamembrane filtrationballasted flocculationseries filtration
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".